SlWHY2 interacted directly in vivo and in vitro with SlRECA2, a mitochondrial recombinase A that is important for mitochondrial DNA recombination and repair. These results suggest that SlWHY2 plays an essential role in maintaining mitochondrial function and enhancing drought tolerance in tomato.Sugar allocation in plants is the fundamental process that transports sugar from source to sink tissues and has a dramatic impact on crop yields. Controlling sugar allocation is required to increase crop yields, as well as biomass for biofuel production. Successful examples have demonstrated that genetic engineering of sugar partitioning offers a promising strategy to achieve this goal. However, improvement has thus far been limited by gaps in understanding of the underlying mechanisms controlling the allocation of sugars. The dynamics of sugar partitioning are minimally predictable under different conditions, between species, or in response to abiotic stresses. Here, we discuss four methodologies that have not been sufficiently exploited for the identification of bottlenecks in sugar flux. Furthermore, we suggest how these strategies can be used and combined to provide the insight needed to maximize crop yields or biomass, especially under conditions of environmental stress.Root system architecture (RSA) manipulation may improve water and nutrient capture by plants under normal and extreme climate conditions. With the aim of initiating the genetic dissection of RSA in tomato, we established a defined ontology that allowed the curated annotation of the observed phenotypes on 12 traits at four consecutive growth stages. In addition, we established a quick approach for the molecular identification of the mutations associated with the trait-of-interest by using a whole-genome sequencing approach that does not require the building of an additional mapping population. As a proof-of-concept, we screened 4543 seedlings from 300 tomato M3 lines (Solanum lycopersicum L. cv. Micro-Tom) generated by chemical mutagenesis with ethyl methanesulfonate. We studied the growth and early development of both the root system (primary and lateral roots) and the aerial part of the seedlings as well as the wound-induced adventitious roots emerging from the hypocotyl. We identified 659 individuals (belonging to 203 M3 lines) whose early seedling and RSA phenotypes differed from those of their reference background. We confirmed the genetic segregation of the mutant phenotypes affecting primary root length, seedling viability and early RSA in 31 M4 families derived from 15 M3 lines selected in our screen. Finally, we identified a missense mutation in the SlCESA3 gene causing a seedling-lethal phenotype with short roots. Our results validated the experimental approach used for the identification of tomato mutants during early growth, which will allow the molecular identification of the genes involved.MADS-box transcription factors play crucial and diverse roles in plant growth and development, and the responses to biotic and abiotic stresses. However, the implementation of MADS-box transcription factors in regulating plant architecture and stress responses has not been fully explored in tomato. Here, we found that a novel MADS-box transcription factor, SlMBP22, participated in the control of agronomical traits, tolerance to abiotic stress, and regulation of auxin and gibberellin signalling. Transgenic plants overexpressing SlMBP22 (SlMBP22-OE) displayed pleiotropic phenotypes, including reduced plant height and leaf size, by affecting auxin and/or gibberellin signalling. SlMBP22 was induced by dehydration treatment, and SlMBP22-OE plants were more tolerant to drought stress than wild-type (WT). Furthermore, SlMBP22 overexpression plants accumulated more chlorophyll, starch and soluble sugar than WT, indicating that the darker green leaves might be attributed to increased chlorophyll levels in the transgenic plants. RNA-Seq results showed that the transcript levels of a series of genes related to chloroplast development, chlorophyll metabolism, starch and sucrose metabolism, hormone signalling, and stress responses were altered. Collectively, our data demonstrate that SlMBP22 plays an important role in both regulating tomato growth and resisting drought stress.The cereal cyst nematode, Heterodera avenae is distributed worldwide and causes substantial damage in bread wheat, Triticum aestivum. check details This nematode is extremely difficult to manage because of its prolonged persistence as unhatched eggs encased in cysts. Due to its sustainable and target-specific nature, RNA interference (RNAi)-based strategy has gained unprecedented importance for pest control. To date, RNAi strategy has not been exploited to manage H. avenae in wheat. In the present study, 40 H. avenae target genes with different molecular function were rationally selected for in vitro soaking analysis in order to assess their susceptibility to RNAi. In contrast to target-specific downregulation of 18 genes, 7 genes were upregulated and 15 genes showed unaltered expression (although combinatorial soaking showed some of these genes are RNAi susceptible), suggesting that a few of the target genes were refractory or recalcitrant to RNAi. However, RNAi of 37 of these genes negatively altered nematode behavior intudy reinforces the potential of HIGS to manage nematode problems in crop plant.Low temperature at the germination stage is one of the major abiotic stresses limiting rice (Oryza sativa L.) production, especially in regions where rice seeds are sown directly. However, few relevant genetic loci and genes have been identified. In this study, we report the phenotypic analysis of low temperature germination (LTG) in 200 indica rice varieties and a genome-wide association study (GWAS) of LTG in this collection using 161,657 high-quality SNPs, which were identified via genotyping-by-sequencing (GBS) of all the rice varieties. A total of 159 genetic loci were detected, and they were evenly distributed on all 12 chromosomes. Among them, 51 loci were detected more than twice; in particular, 23 loci were detected repeatedly in both the wet and dry seasons, and 569 genes were predicted in the 200-kb genomic region harbouring these 23 loci. Furthermore, 14,742 differentially expressed genes (DEGs) were identified using RNA sequencing. By integrating GWAS and RNA sequencing, 179 candidate DEGs were obtained.